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Overview“This book guides you in the journey of 3D modeling from the theory with elegant mathematics to applications with beautiful 3D model pictures. Written in a simple, straightforward, and concise manner, readers will learn the state of the art of 3D reconstruction and modeling.” —Professor Takeo Kanade, Carnegie Mellon University The computer vision and graphics communities use different terminologies for the same ideas. This book provides a translation, enabling graphics researchers to apply vision concepts, and vice-versa, independence of chapters allows readers to directly jump into a specific chapter of interest, compared to other texts, gives more succinct treatment overall, and focuses primarily on vision geometry. Image-Based Modeling is for graduate students, researchers, and engineers working in the areas of computer vision, computer graphics, image processing, robotics, virtual reality, and photogrammetry. Full Product DetailsAuthor: Long QuanPublisher: Springer-Verlag New York Inc. Imprint: Springer-Verlag New York Inc. Edition: 2010 ed. Dimensions: Width: 15.50cm , Height: 2.00cm , Length: 23.50cm Weight: 0.694kg ISBN: 9781441966780ISBN 10: 1441966781 Pages: 251 Publication Date: 22 July 2010 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: In Print  This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsGeometry: fundamentals of multi-view geometry.- Geometry prerequisite.- Multi-view geometry.- Computation: from pixels to 3D points.- Feature point.- Structure from Motion.- Modeling: from 3D points to objects.- Surface modeling.- Hair modeling.- Tree modeling.- Façade modeling.- Building modeling.ReviewsAuthor InformationLong Quan is a Professor of the Department of Computer Science and Engineering at the Hong Kong University of Science and Technology. He received a Ph.D. degree in Computer Science from France, and has been a CNRS researcher at INRIA. Professor Quan is a Fellow of the IEEE Computer Society. Tab Content 6Author Website:Countries AvailableAll regions |
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